SongXiangyu27
Xiangyu Song received the PhD degree from University of Chinese Academy of Sciences, China, in 2022. Currently, He works in China Railway Design Corporation.
University of Chinese Academy of Sciences；China RailwayDesign CorporationTianjin
Pinned Repositories
3DCAE-hyperspectral-classification
Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification
A-Bayesian-Ensemble-Algorithm-for-Change-Point-Detection-and-Time-Series-Decomposition
Bayesian Change-Point Detection and Time Series Decomposition
anne-dbscan-demo
Demo of using aNNE similarity for DBSCAN.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Auto-CNN-HSI-Classification
Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-anomaly-detection-in-medical-images
Awesome anomaly detection in medical images
awesome-indie
Resources for independent developers to make money
HSI-Classification
SSIIFD_Hyperspectral-Anomaly-Detection
This is a code set for hyperpsectral anomaly detection including the RX, PTA, CRD, iForest, SSIIFD, MFIFD etc.
SongXiangyu27's Repositories
SongXiangyu27/SSIIFD_Hyperspectral-Anomaly-Detection
This is a code set for hyperpsectral anomaly detection including the RX, PTA, CRD, iForest, SSIIFD, MFIFD etc.
SongXiangyu27/HSI-Classification
SongXiangyu27/A-Bayesian-Ensemble-Algorithm-for-Change-Point-Detection-and-Time-Series-Decomposition
Bayesian Change-Point Detection and Time Series Decomposition
SongXiangyu27/anne-dbscan-demo
Demo of using aNNE similarity for DBSCAN.
SongXiangyu27/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
SongXiangyu27/awesome-anomaly-detection-in-medical-images
Awesome anomaly detection in medical images
SongXiangyu27/awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
SongXiangyu27/Bloop
bloop is a fast code search engine written in Rust.
SongXiangyu27/chris-box
A CHRIS/Proba toolbox for SNAP
SongXiangyu27/Clustering
Clustering / Subspace Clustering Algorithms on MATLAB
SongXiangyu27/Codes
isolation kernel
SongXiangyu27/Double-Branch-Dual-Attention-Mechanism-Network
Hyperspectral Image Classification
SongXiangyu27/FG-SuULDA
The code of the paper "Flexible Gabor-based Superpixel-level Unsupervised LDA for Hyperspectral Image Classification".
SongXiangyu27/geocompy
Geocomputation with Python: an open source book and online resource for getting started in this space
SongXiangyu27/HSI-classification-based-on-JSaCR
Matlab code for hyperspectral image classification based on JSaCR (IEEE GRSL, 2017)
SongXiangyu27/HyperSIGMA
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
SongXiangyu27/Hyperspectral-Image-Super-Resolution-Benchmark
A list of hyperspectral image super-solution resources collected by Junjun Jiang
SongXiangyu27/Hyperspectral_OptimalSpectralClustering
Compute the optimal number of bands essential for dimensionaity reduction
SongXiangyu27/IEEE_TGRS_J-SLoL
Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot. Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning, IEEE TGRS, 2020.
SongXiangyu27/iNNE-1
Source code of Isolation‐based anomaly detection
SongXiangyu27/Kernel-based-Clustering-via-Isolation-Distributional-Kernel
The source codes of Kernel-based Clustering via Isolation Distributional Kernel
SongXiangyu27/MachineLearningNote
SongXiangyu27/mamba
Mamba SSM architecture
SongXiangyu27/PTA-HAD
a prior-based tensor approximation (PTA) is proposed for hyperspectral anomaly detection, in which HSI is decomposed into a background tensor and an anomaly tensor. In the background tensor, a low-rank prior is incorporated into spectral dimension by truncated nuclear norm regularization, and a piecewise- smooth prior on spatial dimension can be embedded by a linear total variation-norm regularization. For anomaly tensor, it is unfolded along spectral dimension coupled with spatial group sparse prior that can be represented by l 2,1 -norm regularization.
SongXiangyu27/ptom_c
matlab pfile decrypt to mfile
SongXiangyu27/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
SongXiangyu27/sen2like
对sentinel-2和landsat数据光谱一致性处理和融合，提供更高时间分辨率的数据产品，最终目的创建一个虚拟星座
SongXiangyu27/SongXiangyu27
Config files for my GitHub profile.
SongXiangyu27/spectral
Python module for hyperspectral image processing
SongXiangyu27/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)